원문정보
초록
영어
In order to improve the efficiency of cloud computing task scheduling, we propose a cloud scheduling algorithm based on DAG task graph and game optimal. This method first constructed scheduling tasks of DAG task graph, and set the initial virtual machine for root and leaf nodes, then based on the optimization model of game, the effectiveness of difference between the task configuration after optimization judgment and the current task configuration until the effectiveness difference within a preset range, the experimental results show that the methods herein can achieve not only balancing scheduling between each virtual machine, but also has a faster rate scheduling.
목차
1. Introduction
2. Algorithm Design of this Article
2.1. DAG Graph and Cloud Computing Environments
2.2. Game Model of Task Scheduling
2.3. Detailed Design of Task Scheduling Algorithm
3. Experimental Results and Analysis
4. Conclusion
Acknowledgements
References